College of Public Administration, Huazhong Agricultural University, Wuhan 430700, China.
Int J Environ Res Public Health. 2023 Jan 17;20(3):1706. doi: 10.3390/ijerph20031706.
Residential carbon emissions are one of the critical causes of climate problems such as global warming. It is significant to explore the development and evolution trend of residential carbon emissions research for mitigating global climate change. However, there have been no studies that comprehensively review this research field. Based on the research papers on residential carbon emissions included in the Web of Science core database and China National Knowledge Infrastructure database, the CiteSpace bibliometric analysis software was used in this paper to draw the visual knowledge map of residential carbon emissions research and reveal its research status, research hotspots, and development trend. We found that residential carbon emissions research has gone through the stage of "emergence-initiation-rapid development", and the research in the United States and the United Kingdom has played a fundamental role in developing this research field. Research hotspots mainly focus on analyzing energy demand, quantitative measurement, and impact mechanisms of residents' direct and indirect carbon emissions and low-carbon consumption willingness. The focus of research has gradually shifted from qualitative analysis based on relevant policies to the analysis of quantitative spatiotemporal measurements and drive mechanisms of direct and indirect carbon emissions from residential buildings, transportation, and tourism based on mathematical models and geographic information system technologies. Modern intelligent means such as remote sensing technology and artificial intelligence technology can improve the dynamics and accuracy of this research, but there are few related types of research at present. Based on these research status and trends, we proposed that the future research direction of residential carbon emissions should focus more on spatial analysis and trend prediction based on intelligent methods under a low-carbon background.
居民碳排放是导致全球变暖等气候问题的重要原因之一。因此，探索居民碳排放研究的发展和演变趋势对于缓解全球气候变化具有重要意义。然而，目前还没有研究对这一研究领域进行全面综述。本文基于 Web of Science 核心数据库和中国知网数据库中收录的居民碳排放研究论文，运用 CiteSpace 文献计量分析软件绘制了居民碳排放研究的可视化知识图谱，揭示了其研究现状、研究热点和发展趋势。研究发现，居民碳排放研究经历了“萌芽-启动-快速发展”的阶段，美国和英国在该研究领域的发展中发挥了基础性作用。研究热点主要集中在分析居民直接和间接碳排放的能源需求、定量测量以及影响机制，以及低碳消费意愿。研究重点逐渐从基于相关政策的定性分析转向基于数学模型和地理信息系统技术的居民住宅、交通和旅游直接和间接碳排放的时空测量和驱动机制的定量分析。遥感技术和人工智能技术等现代智能手段可以提高该研究的动态性和准确性，但目前相关类型的研究较少。基于这些研究现状和趋势，我们提出未来居民碳排放的研究方向应更加注重基于智能方法的低碳背景下的空间分析和趋势预测。
